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First seen by our source: 20 days ago

Network Operations Center Engineer | Upto $70/hr

@ Mercor

Toronto, Ontario

$50–$70/hr
Apply now
SIGNALS

Overview

Mercor is hiring a remote contract Network Engineer for data annotation on autonomous systems, at $50–$70/hour for 30–40 hours per week. The work is reviewing deployed-network logs, configs, telemetry and event streams, labelling anomalies, and helping define data pipeline schemas for AI training. Candidates need enterprise network experience and comfort with logs and time-series metrics.

Pay:

$50–$70 an hour

Responsibilities:

  • Review logs, configs, telemetry and event streams from deployed networks
  • Label and classify behaviours, issues and anomalies in network data
  • Help define schemas and structure for large-scale data pipelines
  • Work with the client team to ensure data quality and relevance

Requirements summary:

  • Experience as a network engineer, ideally with enterprise networks
  • Switches, access points and firewalls experience
  • Comfort interpreting logs, events and time-series metrics
  • Curiosity about how infrastructure data becomes ML input

Tools & skills

Source and dates

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-18
Source record updated
2026-10-18

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentIT
Hours per week35
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Mercor

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Full company description

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

LinkedIn followers
654,507
People associated on LinkedIn
5,250
Reported office locations
  • San Francisco, California 94105, US
Business categories
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Other recorded names
  • Mercor
Profile identifies a recruitment agency
Yes
Reported total investment
483,600,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2023
Open jobs on Jobsy1,626
LinkedInView page
Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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